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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Lithium Ion / Super Capacitor Hybrid System
SBC: Electro Standards Laboratory, Inc. Topic: A15AT010A hybrid lithium ion battery / super capacitor energy storage device is developed that uses the high power capability of the super capacitor to satisfy pulsed power load requirements such that stress on the lithium ion batteries is reduced. This results in extended discharge time and higher efficiency utilization of the battery stack.
STTR Phase I 2015 Department of DefenseArmy -
Heat Stable Alkaline Phosphatase from Thermophiles
SBC: J.k. Research Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseArmy -
LOW COST HIGH PERFORMANCE CONTINUOUS FIBER CERAMIC COMPOSITES: 3-D BRAIDED PREFORMS AS SIC MATRIX COMPOSITES USING CVI
SBC: Quadrax Advanced Materials Topic: N/A3-D BRAIDED PREFORMS SHOULD INCREASE MECHANICAL PROPERTIES OF CERAMIC COMPOSITES IN ALL DIRECTIONS; ITS INTERLOCKING FIBER ARCHITECTURE SHOULD BE EFFECTIVE IN ARRESTING CRACKS, AND REMOVING CATASTROPIC FAILURE. THIS PROJECT ADDRESSES THE ISUES OF MERGING AN EFFECTIVE REINFORCEMENT SYSTEM WITH AN INEXPENSIVE CERAMIC MATRIX PROCESSING TECHNOLOGY TO DISCOVER A LOW COST MANUFACTURING ROUTE TO HIGH PER ...
SBIR Phase I 1991 Department of DefenseArmy -
Develop Enironmental Monitoring Capability for Intergrating Recent Technological Advancements into a Hybrid Artificial Neural Network System
SBC: SEACORP, LLC Topic: N/AWe propose to develop an Environmental Monitoring System by integrating various technologies to create a hybrid artificial neural network system. By functionally decomposing the requirements of environmental monitoring we can apply emerging technologies to fulfill these modularized requirements. Ten (10) years of experience indicate that the technologies directly applicable to specific requirement ...
SBIR Phase I 1993 Department of DefenseArmy